def __solve_nodal_circuit_sparse(Ac, Yb, E):
'''
Based on Chua, 1975
Solve circuit based on nodal analysis\n
Ac: nodal incidence matrix (with reference node)\n
Yb: branch admitance matrix\n
E: branch source vector
'''
if isinstance(Ac, csr_matrix) and isinstance(
Yb, csr_matrix) and isinstance(E, csr_matrix):
A = matrix_aux.delete_sparse_mask(Ac, [0], 0)
del (Ac)
At = csr_matrix.transpose(A)
Yn = A.dot(Yb).dot(At)
Jn = -A.dot(Yb).dot(E)
del (A)
vn = spsolve(Yn, Jn)
del (Yn)
del (Jn)
vn = vn.T
v_b = At.dot(vn)
# v_b=csr_matrix.dot(At,vn)
v = (v_b + E.T).T
i = Yb.dot(v)
return i
def __solve_nodal_circuit_sparse(Ac,Yb,E): ''' Based on Chua, 1975 Solve circuit based on nodal analysis\n Ac: nodal incidence matrix (with reference node)\n Yb: branch admitance matrix\n E: branch source vector ''' if isinstance(Ac,csr_matrix) and isinstance(Yb,csr_matrix) and isinstance(E,csr_matrix): A=matrix_aux.delete_sparse_mask(Ac,[0],0) At=csr_matrix.transpose(A) Yn=A.dot(Yb).dot(At) # Yn=(A*Yb)*At Jn=-A.dot(Yb).dot(E) # Jn=-csr_matrix.dot(csr_matrix.dot(A,Yb),E) vn=spsolve(Yn, Jn) vn=vn.T v_b=At.dot(vn) # v_b=csr_matrix.dot(At,vn) v=(v_b+E.T).T i=Yb.dot(v) return i
def integration_process(folder_path, preProcData):
file_names = File_names()
results_folder = file_names.get_results_folder_name()
results_path = os.path.join(folder_path, results_folder)
# Source field
run_surface_integral = False
run_biot_savart = True
run_VS = False
#%% Instances and geral definitions
global_variables = GlobalVariables()
error = Errors()
operations = Operations()
materials_lib = get_materials_lib()
vacuum = Vacuum()
get_gauss_points_class = GaussPoints()
shape_functions = ShapeFuncions()
operations = Operations()
str_noflux_face = global_variables.str_noflux_face
results_folder = file_names.get_results_folder_name()
face = Face()
#------------------------------------------------------------------------------
# Setup
regions_material = preProcData.RegionMaterial
regions_excitation = preProcData.RegionExcitation
boundary = preProcData.BC
external_reluctances = preProcData.ExternalReluctances
coupling = preProcData.CoupNet
#------------------------------------------------------------------------------
# Mesh
mesh_data = preProcData.MeshData
all_elem_nodes_3D = mesh_data.ElemNodes
nodes_coordenates = mesh_data.NodesCoordenates
elem_tags = mesh_data.ElemTags
elem_type = mesh_data.ElemType
#%% Get 2D and 3D elements, with their materials name
elem_2D_ID = list()
elem_type_3D = list()
elem_nodes_3D = list()
elem_tags_3D = list()
region_ID_list_3D = list()
number_elements_2D = 0
for counter, each_elem in enumerate(all_elem_nodes_3D):
this_elem_type = elem_type[counter]
if this_elem_type < 4:
elem_2D_ID.append(counter)
number_elements_2D += 1
else:
elem_nodes_3D.append(each_elem)
elem_type_3D.append(elem_type[counter])
elem_tags_3D.append(elem_tags[counter])
find = False
for each_region in regions_material:
if each_region.RegionNumber == elem_tags[counter][0]:
region_ID_list_3D.append(each_region.MaterialName)
find = True
if not find:
error.physical_surface_not_defined(
str(each_region.RegionNumber), elem_tags[counter][0])
number_elements = len(elem_nodes_3D)
number_nodes = len(nodes_coordenates)
faces_ID = list()
faces_list = list()
plot_test_coord = list()
plot_test_field = list()
#%%Get source field
field_solution = list()
run_permanent_magnets = False
# Run Permanent Magnets
for each_region in regions_material:
for each in materials_lib[each_region.MaterialName].Hc:
if each != 0.0:
permanent_magnets.run_permanent_magnets(
preProcData, folder_path)
run_permanent_magnets = True
break
#Read the fields
if run_biot_savart or run_permanent_magnets:
results_folder = file_names.get_results_folder_name()
folder_name = os.path.join(folder_path, results_folder)
#Gauss points IDs
this_file_name = file_names.get_Gauss_points_ID_file_name()
full_path = os.path.join(folder_name, this_file_name)
points_IDs = np.genfromtxt(full_path,
delimiter=' ',
dtype='int',
usecols=(1, 2, 3, 4))
points_ID_elem_all = np.genfromtxt(full_path,
delimiter=' ',
dtype='int',
usecols=(0))
points_ID_elem = points_ID_elem_all - number_elements_2D
points_ID_elem = points_ID_elem.tolist()
points_ID_elem_all = points_ID_elem_all.tolist()
# Gauss points coordinates
this_file_name = file_names.get_Gauss_points_coordinates_file_name()
full_path = os.path.join(folder_name, this_file_name)
coordinates = np.genfromtxt(full_path, delimiter=' ', dtype='double')
# Fields
this_file_name = file_names.get_Gauss_points_H_field_file_name()
# this_file_name="H_source_FFEM.txt"
full_path = os.path.join(folder_name, this_file_name)
fields = np.genfromtxt(full_path, delimiter=' ', dtype='double')
for elem_counter in range(0, number_elements):
this_elem_type = elem_type_3D[elem_counter]
gauss_points = get_gauss_points_class.get_gauss_points(
this_elem_type)
number_integ_points = len(
get_gauss_points_class.get_gauss_points(this_elem_type))
this_points_field = list()
if elem_counter in points_ID_elem:
this_elem = points_ID_elem.index(elem_counter)
for k in points_IDs[this_elem].tolist():
Hxy = np.zeros((3, 1))
Hxy[0, 0] = fields[k, 0]
Hxy[1, 0] = fields[k, 1]
Hxy[2, 0] = fields[k, 2]
this_points_field.append(Hxy)
else:
for k in xrange(number_integ_points):
Hxy = np.zeros((3, 1))
this_points_field.append(Hxy)
field_solution.append(this_points_field)
run_external_circuit = False
if len(coupling) > 0:
run_external_circuit = True
#%%Creates the face list
print_message("Creating faces list")
for elem_counter in range(0, number_elements):
number_local_faces = shape_functions.get_number_faces(this_elem_type)
this_elem_type = elem_type_3D[elem_counter]
this_element_nodes = elem_nodes_3D[elem_counter]
faces_nodes_ID = shape_functions.get_nodes_ID_2_face(this_elem_type)
number_faces, nodes_per_face = faces_nodes_ID.shape
local_faces_ID = list()
for local_face_counter in range(0, number_faces):
nodes_list = list()
for node_counter in range(nodes_per_face):
node_ID = faces_nodes_ID[local_face_counter, node_counter]
nodes_list.append(this_element_nodes[node_ID])
local_faces_ID.append(
face.add_to_list(nodes_list, elem_counter, faces_list))
faces_ID.append(local_faces_ID)
print_message("Creating faces list - Done")
#%%Integration
print_message("Integration process")
num_meshed_rel = len(faces_list)
num_non_meshed_rel = len(external_reluctances)
num_total_rel = num_meshed_rel + num_non_meshed_rel
#sparse matrix
cols_rel_sparse = list()
rows_rel_sparse = list()
#reluctance matrix
diagonal = list()
for each_element_faces in faces_ID:
numbre_faces_this_element = len(each_element_faces)
for face_counter_1 in xrange(numbre_faces_this_element):
pos_1 = each_element_faces[face_counter_1]
for face_counter_2 in xrange(numbre_faces_this_element):
pos_2 = each_element_faces[face_counter_2]
if pos_1 == pos_2:
if pos_1 not in diagonal:
rows_rel_sparse.append(pos_1)
cols_rel_sparse.append(pos_2)
diagonal.append(pos_1)
else:
rows_rel_sparse.append(pos_1)
cols_rel_sparse.append(pos_2)
data_rel_sparse = np.zeros(len(rows_rel_sparse))
faces_rel_spare = csr_matrix(
(data_rel_sparse, (rows_rel_sparse, cols_rel_sparse)),
shape=(num_total_rel, num_total_rel))
#fmm matrix
cols_fmm_sparse = np.zeros(num_meshed_rel)
rows_fmm_sparse = xrange(0, num_meshed_rel)
data_fmm_sparse = np.zeros(num_meshed_rel)
fmm_sparse = csr_matrix(
(data_fmm_sparse, (rows_fmm_sparse, cols_fmm_sparse)),
shape=(num_total_rel, 1))
#source_flux matrix
cols_source_flux_sparse = np.zeros(num_meshed_rel)
rows_source_flux_sparse = xrange(0, num_meshed_rel)
data_source_flux_sparse = np.zeros(num_meshed_rel)
source_flux_sparse = csr_matrix(
(data_source_flux_sparse,
(rows_source_flux_sparse, cols_source_flux_sparse)),
shape=(num_total_rel, 1))
#grad_phi matrix
# cols_grad_phi_sparse=np.zeros(num_meshed_rel)
# rows_grad_phi_sparse=xrange(0,num_meshed_rel)
# data_grad_phi_sparse=np.zeros(num_meshed_rel)
# grad_phi_sparse=csr_matrix((data_grad_phi_sparse, (rows_grad_phi_sparse, cols_grad_phi_sparse)), shape=(num_total_rel,1))
this_elem_type = ""
plot_field = list()
plot_shape_functions = list()
# plot_test_coord=list()
BC_nodes = list()
BC_values = list()
for elem_counter in xrange(number_elements):
this_elem_type_changed = elem_type_3D[elem_counter]
if this_elem_type != this_elem_type_changed:
this_elem_type = this_elem_type_changed
gauss_points = get_gauss_points_class.get_gauss_points(
this_elem_type)
number_local_faces = shape_functions.get_number_faces(
this_elem_type)
number_integ_points = len(
get_gauss_points_class.get_gauss_points(this_elem_type))
wtri = get_gauss_points_class.get_integration_weight(
this_elem_type)
faces_ID_Elem = faces_ID[elem_counter]
this_element_nodes = elem_nodes_3D[elem_counter]
mur_r = materials_lib[region_ID_list_3D[elem_counter]].Permeability
mu_elem = vacuum.mu0 * mur_r
# x=nodes_coordenates[this_element_nodes[0]][1]
# Get W at reference element
w_local_this_element = list() #[gauss point][face]
for each_integ_point in xrange(number_integ_points):
#u,v,w coordinates
u = gauss_points[each_integ_point, 0]
v = gauss_points[each_integ_point, 1]
w = gauss_points[each_integ_point, 2]
# Shape functions @ reference element
w_local_this_point = shape_functions.get_facet_shape_function(
this_elem_type, u, v, w)
w_local_this_element.append(w_local_this_point)
# Shape functions @ real element for each face
w_real_all_points = list(
) # w_real_lista[0] contains the shape function of all points for face 0
#Boundary conditions
# Hxy=field_solution[elem_counter][each_integ_point]
# if Hxy[0,0]!=0 or Hxy[1,0]!=0 or Hxy[2,0]!=0:
# BC_nodes.append(elem_counter)
# BC_values.append(x)
# Face 0...Fn
#P0 W
#Pn
for face_counter in xrange(number_local_faces):
w_real_this_point = list()
for point_counter in range(0, number_integ_points):
w_local = w_local_this_element[point_counter][face_counter]
w_real = operations.convert_local_real_Piola(
this_elem_type, w_local[0, 0], w_local[0, 1],
w_local[0, 2], this_element_nodes, nodes_coordenates)
w_real_this_point.append(w_real)
w_real_all_points.append(w_real_this_point)
# Source fields
for local_face_counter in xrange(number_local_faces):
w_1 = copy.deepcopy(w_real_all_points[local_face_counter])
face_ID_1 = faces_ID_Elem[local_face_counter]
if faces_list[face_ID_1].elem_2 == elem_counter:
for each in w_1:
each = matrix_aux.invert_w(each)
elem_ID_all = elem_counter + number_elements_2D
# this_3D_ID=points_ID_elem_all.index(elem_ID_all)
# mmf source integration process
source = 0
this_face_nodes = faces_list[face_ID_1].nodes_list
#
#
this_elem = points_ID_elem.index(elem_counter)
this_gauss_points_ID = points_IDs[this_elem].tolist()
Hxy = np.zeros((3, 1))
for each_integ_point in xrange(number_integ_points):
if run_biot_savart or run_permanent_magnets:
# Hxy=field_solution[elem_counter][each_integ_point]
this_point_ID = this_gauss_points_ID[each_integ_point]
Hxy[0, 0] = fields[this_point_ID, 0]
Hxy[1, 0] = fields[this_point_ID, 1]
Hxy[2, 0] = fields[this_point_ID, 2]
if Hxy[0, 0] != 0 or Hxy[1, 0] != 0 or Hxy[2, 0] != 0:
w_1_this_point = w_1[each_integ_point]
#u,v,p coordinates
u = gauss_points[each_integ_point, 0]
v = gauss_points[each_integ_point, 1]
p = gauss_points[each_integ_point, 2]
w = w_1_this_point
plot_shape_functions.append(w)
plot_test_field.append(Hxy)
plot_test_coord.append(coordinates[this_point_ID])
# Jacobian
jac = operations.get_jacobian(this_elem_type,
this_element_nodes,
nodes_coordenates, u, v,
p)
det_jac = np.linalg.det(jac)
abs_det_jac = np.abs(det_jac)
#Integration
source = source + wtri * abs_det_jac * matrix_aux.dot_product(
w, Hxy)
fmm_sparse[face_ID_1, 0] = fmm_sparse[face_ID_1, 0] + source
# Relutances integration process
for local_face_counter_2 in xrange(number_local_faces):
w_2 = copy.deepcopy(w_real_all_points[local_face_counter_2])
face_ID_2 = faces_ID_Elem[local_face_counter_2]
if faces_list[face_ID_2].elem_2 == elem_counter:
for each in w_2:
each = matrix_aux.invert_w(each)
wtot = 0.0
for each_integ_point in range(0, number_integ_points):
u = gauss_points[each_integ_point, 0]
v = gauss_points[each_integ_point, 1]
p = gauss_points[each_integ_point, 2]
# Jacobian
jac = operations.get_jacobian(this_elem_type,
this_element_nodes,
nodes_coordenates, u, v, p)
det_jac = np.linalg.det(jac)
abs_det_jac = np.abs(det_jac)
# Reluctance
w_1_this_point = w_1[each_integ_point]
w_2_this_point = w_2[each_integ_point]
wtot = wtot + wtri * abs_det_jac * matrix_aux.dot_product(
w_1_this_point, w_2_this_point) / mu_elem
faces_rel_spare[face_ID_1, face_ID_2] += wtot
print_message("Integration process - Done")
#%% Connection between the physical line with the circuit node
print_message("External faces")
for counter, each_face in enumerate(faces_list):
if each_face.elem_2 == str_noflux_face:
for each_face_con in elem_2D_ID:
nodes_face_shared = all_elem_nodes_3D[each_face_con]
phys_line = elem_tags[each_face_con][0]
#Coupling with external reluctances
for each_coupling in coupling:
if each_coupling.PhysLine == phys_line:
bool_connect = True
for each_node_this_face in each_face.nodes_list:
if each_node_this_face not in nodes_face_shared:
bool_connect = False
if bool_connect:
# Redefine the face
new_face = Face(
each_face.nodes_list, each_face.elem_1,
each_coupling.Node + number_elements)
faces_list[counter] = new_face
each_coupling.Face_ID_List.append(counter)
#%% Insert the flux sources
# BC_nodes=list()
if run_surface_integral:
folder_name = os.path.join(folder_path, results_folder)
full_path = os.path.join(folder_name, "flux_surface.txt")
flux_data = np.genfromtxt(full_path, delimiter=' ', dtype='double')
flux_source = flux_data[:, 1]
flux_source_elem_ID = flux_data[:, 0]
num_faces_surface_integral = len(flux_source_elem_ID)
external_node_surface_ID_counter = 0
for face_counter in xrange(num_faces_surface_integral):
this_elem_face_ID = int(flux_source_elem_ID[face_counter])
this_face_nodes_elem = set(all_elem_nodes_3D[this_elem_face_ID])
for counter, each_face in enumerate(faces_list):
this_face_nodes = set(each_face.nodes_list)
if this_face_nodes_elem.issubset(this_face_nodes):
# print this_elem_face_ID
# external_node_surface_ID=len(coupling)+number_elements-1
# BC_nodes.append(external_node_surface_ID)
# external_node_surface_ID_counter+=1
new_face = Face(each_face.nodes_list, each_face.elem_1,
each_face.elem_2)
faces_list[counter] = new_face
source_flux_sparse[counter] = flux_source[face_counter]
faces_rel_spare[counter, counter] = 10000000000000000.0
fmm_sparse[counter, 0] = 0.0
# print each_face.elem_1
# break
# BC_values=[0]*len(BC_nodes)
#%% Delete the faces without external connections
faces_ID_deleted_list = list()
faces_deleted_list = list()
#Delete from reluctances and fmm matrix
counter = 0
for face_counter in xrange(len(faces_list)):
if faces_list[face_counter].elem_2 == str_noflux_face:
faces_ID_deleted_list.append(face_counter)
faces_rel_spare = matrix_aux.delete_sparse_mask(faces_rel_spare,
faces_ID_deleted_list, 0)
faces_rel_spare = matrix_aux.delete_sparse_mask(faces_rel_spare,
faces_ID_deleted_list, 1)
fmm_sparse = matrix_aux.delete_sparse_mask(fmm_sparse,
faces_ID_deleted_list, 0)
source_flux_sparse = matrix_aux.delete_sparse_mask(source_flux_sparse,
faces_ID_deleted_list,
0)
##Delete from faces_list
counter = 0
for each in faces_ID_deleted_list:
face_ID = each + counter
this_face = faces_list[face_ID]
faces_list.remove(this_face)
faces_deleted_list.append(this_face)
counter -= 1
#%% Add the external circuit reluctances
number_deleted = len(faces_deleted_list)
for counter in xrange(num_non_meshed_rel):
#reluctance value
material = external_reluctances[counter].Material
mur = materials_lib[material].Permeability
LS = external_reluctances[counter].LS
mu_elem = vacuum.mu0 * mur
reluctance_value = LS / mu_elem
this_position = num_meshed_rel - number_deleted + counter
faces_rel_spare[this_position, this_position] = reluctance_value
fmm_sparse[this_position] = external_reluctances[counter].fmm
source_flux_sparse[this_position] = external_reluctances[counter].flux
external_nodes_list = list()
for each in external_reluctances:
#Get the list of external nodes
if each.node_from not in external_nodes_list:
external_nodes_list.append(each.node_from)
if each.node_to not in external_nodes_list:
external_nodes_list.append(each.node_to)
#create a new face in the faces_list
new_face = Face([], each.node_from + number_elements,
each.node_to + number_elements)
faces_list.append(new_face)
#Get the list of external nodes
for each in coupling:
if each.Node not in external_nodes_list:
external_nodes_list.append(each.Node)
print_message("External faces - Done")
#%% Incidence matrix
print_message("Incidence matrix")
external_nodes = 0
if run_external_circuit:
external_nodes += len(external_nodes_list)
# elif run_surface_integral:
# external_nodes+=len(BC_nodes)
else:
external_nodes += 0
number_faces_list = len(faces_list)
total_nodes = number_elements + external_nodes
rows_incidence_sparse = list()
cols_incidence_sparse = list()
data_incidence_sparse = list()
for counter in xrange(number_faces_list):
this_face = faces_list[counter]
rows_incidence_sparse.append(this_face.elem_1)
cols_incidence_sparse.append(counter)
data_incidence_sparse.append(1.0)
rows_incidence_sparse.append(this_face.elem_2)
cols_incidence_sparse.append(counter)
data_incidence_sparse.append(-1.0)
incidence_matrix_sparse = csr_matrix(
(data_incidence_sparse,
(rows_incidence_sparse, cols_incidence_sparse)),
shape=(total_nodes, number_faces_list))
print_message("Incidence matrix - Done")
#%%Plot test fields
Gmsh_file_name = "test_H_field.txt"
path = os.path.join(results_path, Gmsh_file_name)
Create_Vector_field(plot_test_coord, plot_test_field, path, "H test")
Gmsh_file_name = "test_W.txt"
path = os.path.join(results_path, Gmsh_file_name)
Create_Vector_field(plot_test_coord, plot_shape_functions, path,
"Shape function")
print_message("Saving matrices")
np.save(os.path.join(results_path, "faces_rel_spare_algo"),
faces_rel_spare.toarray())
np.save(os.path.join(results_path, "fmm_sparse_algol"),
fmm_sparse.toarray())
np.save(os.path.join(results_path, "incidence_matrix_algo"),
incidence_matrix_sparse.toarray())
print_message("Saving matrices: Done")
return faces_rel_spare, incidence_matrix_sparse, fmm_sparse, source_flux_sparse, faces_ID, results_path, faces_ID_deleted_list, faces_list, faces_deleted_list, BC_nodes, BC_values
def integration_process(folder_path,preProcData):
file_names=File_names()
results_folder=file_names.get_results_folder_name()
results_path=os.path.join(folder_path,results_folder)
# Source field
mu0=4.0*math.pi*math.pow(10.0,-7.0)
run_surface_integral=True
run_biot_savart=True
run_VS=False
perf_mag_surf=177
one_layer_ID=175
#%% Instances and geral definitions
global_variables=GlobalVariables()
error=Errors()
operations=Operations()
materials_lib=get_materials_lib()
vacuum=Vacuum()
get_gauss_points_class=GaussPoints()
shape_functions=ShapeFuncions()
operations=Operations()
str_noflux_face=global_variables.str_noflux_face
results_folder=file_names.get_results_folder_name()
face=Face()
#------------------------------------------------------------------------------
# Setup
regions_material=preProcData.RegionMaterial
regions_excitation=preProcData.RegionExcitation
boundary=preProcData.BC
external_reluctances=preProcData.ExternalReluctances
coupling=preProcData.CoupNet
#------------------------------------------------------------------------------
# Mesh
mesh_data=preProcData.MeshData
all_elem_nodes_3D= mesh_data.ElemNodes
nodes_coordenates=mesh_data.NodesCoordenates
elem_tags=mesh_data.ElemTags
elem_type=mesh_data.ElemType
#%% Get 2D and 3D elements, with their materials name
elem_2D_ID=list()
elem_type_3D=list()
elem_nodes_3D=list()
elem_tags_3D=list()
region_ID_list_3D=list()
number_elements_2D=0
nodes_phys_surf=list()
for counter,each_elem in enumerate(all_elem_nodes_3D):
this_elem_type=elem_type[counter]
if this_elem_type<4:
elem_2D_ID.append(counter)
number_elements_2D+=1
if elem_tags[counter][0]==perf_mag_surf:
for each in all_elem_nodes_3D[counter]:
if each not in nodes_phys_surf:
nodes_phys_surf.append(each)
else:
elem_nodes_3D.append(each_elem)
elem_type_3D.append(elem_type[counter])
elem_tags_3D.append(elem_tags[counter])
find=False
for each_region in regions_material:
if each_region.RegionNumber==elem_tags[counter][0]:
region_ID_list_3D.append(each_region.MaterialName)
find=True
if not find:
error.physical_surface_not_defined(str(each_region.RegionNumber),elem_tags[counter][0])
number_elements=len(elem_nodes_3D) #only 3D elements
number_nodes=len(nodes_coordenates)
faces_ID=list()
faces_list=list()
# nodes_phys_surf=set(nodes_phys_surf)
plot_field=list()
plot_shape_functions=list()
plot_test_coord=list()
#%%Get source field
field_solution=list()
run_permanent_magnets=False
# Run Permanent Magnets
for each_region in regions_material:
for each in materials_lib[each_region.MaterialName].Hc:
if each !=0.0:
permanent_magnets.run_permanent_magnets(preProcData,folder_path)
run_permanent_magnets=True
break
#Read the fields
if run_biot_savart or run_permanent_magnets:
results_folder=file_names.get_results_folder_name()
folder_name=os.path.join(folder_path,results_folder)
#Gauss points IDs
this_file_name=file_names.get_Gauss_points_ID_file_name()
full_path=os.path.join(folder_name,this_file_name)
points_IDs = np.genfromtxt(full_path,delimiter=' ',dtype='int', usecols=(1,2,3,4))
points_ID_elem_all = np.genfromtxt(full_path,delimiter=' ',dtype='int', usecols=(0))
points_ID_elem=points_ID_elem_all-number_elements_2D
points_ID_elem=points_ID_elem.tolist()
points_ID_elem_all=points_ID_elem_all.tolist()
# Gauss points coordinates
this_file_name=file_names.get_Gauss_points_coordinates_file_name()
full_path=os.path.join(folder_name,this_file_name)
coordinates = np.genfromtxt(full_path,delimiter=' ',dtype='double')
# Fields
this_file_name=file_names.get_Gauss_points_H_field_file_name()
# this_file_name="H_source_FFEM.txt"
full_path=os.path.join(folder_name,this_file_name)
fields = np.genfromtxt(full_path,delimiter=' ',dtype='double')
for elem_counter in range(0,number_elements):
this_elem_type=elem_type_3D[elem_counter]
gauss_points=get_gauss_points_class.get_gauss_points(this_elem_type)
number_integ_points=len(get_gauss_points_class.get_gauss_points(this_elem_type))
this_points_field=list()
if elem_counter in points_ID_elem:
this_elem=points_ID_elem.index(elem_counter)
for k in points_IDs[this_elem].tolist():
Hxy=np.zeros((3,1))
Hxy[0,0]=fields[k,0]
Hxy[1,0]=fields[k,1]
Hxy[2,0]=fields[k,2]
this_points_field.append(Hxy)
else:
for k in xrange(number_integ_points):
Hxy=np.zeros((3,1))
this_points_field.append(Hxy)
field_solution.append(this_points_field)
run_external_circuit=False
if len(coupling)>0:
run_external_circuit=True
#%%Creates the face list
print_message("Creating faces list")
for elem_counter in range(0,number_elements):
number_local_faces=shape_functions.get_number_faces(this_elem_type)
this_elem_type=elem_type_3D[elem_counter]
this_element_nodes=elem_nodes_3D[elem_counter]
faces_nodes_ID=shape_functions.get_nodes_ID_2_face(this_elem_type)
number_faces,nodes_per_face=faces_nodes_ID.shape
local_faces_ID=list()
for local_face_counter in range(0,number_faces):
nodes_list=list()
for node_counter in range(nodes_per_face):
node_ID=faces_nodes_ID[local_face_counter,node_counter]
nodes_list.append(this_element_nodes[node_ID])
local_faces_ID.append(face.add_to_list(nodes_list,elem_counter,faces_list))
faces_ID.append(local_faces_ID)
print_message("Creating faces list - Done")
#%%Integration
print_message("Integration process")
num_meshed_rel=len(faces_list)
num_non_meshed_rel=len(external_reluctances)
num_total_rel=num_meshed_rel+num_non_meshed_rel
#sparse matrix
cols_rel_sparse=list()
rows_rel_sparse=list()
counter_elem_suf=0
#reluctance matrix
diagonal=list()
for each_element_faces in faces_ID:
numbre_faces_this_element=len(each_element_faces)
for face_counter_1 in xrange(numbre_faces_this_element):
pos_1=each_element_faces[face_counter_1]
for face_counter_2 in xrange(numbre_faces_this_element):
pos_2=each_element_faces[face_counter_2]
if pos_1==pos_2:
if pos_1 not in diagonal:
rows_rel_sparse.append(pos_1)
cols_rel_sparse.append(pos_2)
diagonal.append(pos_1)
else:
rows_rel_sparse.append(pos_1)
cols_rel_sparse.append(pos_2)
data_rel_sparse=np.zeros(len(rows_rel_sparse))
faces_rel_spare=csr_matrix((data_rel_sparse, (rows_rel_sparse, cols_rel_sparse)), shape=(num_total_rel, num_total_rel))
#fmm matrix
cols_fmm_sparse=np.zeros(num_meshed_rel)
rows_fmm_sparse=xrange(0,num_meshed_rel)
data_fmm_sparse=np.zeros(num_meshed_rel)
fmm_sparse=csr_matrix((data_fmm_sparse, (rows_fmm_sparse, cols_fmm_sparse)), shape=(num_total_rel,1))
#source_flux matrix
cols_source_flux_sparse=np.zeros(num_meshed_rel)
rows_source_flux_sparse=xrange(0,num_meshed_rel)
data_source_flux_sparse=np.zeros(num_meshed_rel)
source_flux_sparse=csr_matrix((data_source_flux_sparse, (rows_source_flux_sparse, cols_source_flux_sparse)), shape=(num_total_rel,1))
#grad_phi matrix
# cols_grad_phi_sparse=np.zeros(num_meshed_rel)
# rows_grad_phi_sparse=xrange(0,num_meshed_rel)
# data_grad_phi_sparse=np.zeros(num_meshed_rel)
# grad_phi_sparse=csr_matrix((data_grad_phi_sparse, (rows_grad_phi_sparse, cols_grad_phi_sparse)), shape=(num_total_rel,1))
this_elem_type=""
for elem_counter in xrange(number_elements):
this_elem_type_changed=elem_type_3D[elem_counter]
if this_elem_type!=this_elem_type_changed:
this_elem_type=this_elem_type_changed
gauss_points=get_gauss_points_class.get_gauss_points(this_elem_type)
number_local_faces=shape_functions.get_number_faces(this_elem_type)
number_integ_points=len(get_gauss_points_class.get_gauss_points(this_elem_type))
wtri=get_gauss_points_class.get_integration_weight(this_elem_type)
faces_ID_Elem=faces_ID[elem_counter]
this_element_nodes=elem_nodes_3D[elem_counter]
mur_r=materials_lib[region_ID_list_3D[elem_counter]].Permeability
mu_elem=vacuum.mu0*mur_r
k_sf=1.0
if run_VS:
if mur_r>1.0:
k_sf=-1.0*mu0*((1.0/mu_elem)-(1.0/mu0))
else:
k_sf=0
# Get W at reference element
w_local_this_element=list() #[gauss point][face]
for each_integ_point in xrange(number_integ_points):
#u,v,w coordinates
u=gauss_points[each_integ_point,0]
v=gauss_points[each_integ_point,1]
w=gauss_points[each_integ_point,2]
# Shape functions @ reference element
w_local_this_point=shape_functions.get_facet_shape_function(this_elem_type,u,v,w)
w_local_this_element.append(w_local_this_point)
# Shape functions @ real element for each face
w_real_all_points=list() # w_real_lista[0] contains the shape function of all points for face 0
# Face 0...Fn
#P0 W
#Pn
for face_counter in xrange(number_local_faces):
w_real_this_point=list()
for point_counter in range(0,number_integ_points):
w_local=w_local_this_element[point_counter][face_counter]
w_real=operations.convert_local_real_Piola(this_elem_type,w_local[0,0],w_local[0,1],w_local[0,2],this_element_nodes,nodes_coordenates)
w_real_this_point.append(w_real)
w_real_all_points.append(w_real_this_point)
# Source fields
elem_ID_all=elem_counter+number_elements_2D
for local_face_counter in xrange(number_local_faces):
w_1=copy.deepcopy(w_real_all_points[local_face_counter])
face_ID_1=faces_ID_Elem[local_face_counter]
if faces_list[face_ID_1].elem_2==elem_counter:
for each in w_1:
each=matrix_aux.invert_w(each)
# mmf source integration process
# if (52 in faces_list[face_ID_1].nodes_list) and (118 in faces_list[face_ID_1].nodes_list) and (384 in faces_list[face_ID_1].nodes_list):
# faces_list[face_ID_1].print_face()
# run_this_face=True
counter_nodes=0
for each in faces_list[face_ID_1].nodes_list:
if each in nodes_phys_surf:
counter_nodes=counter_nodes+1
# run_this_face=False
run_this_face=False
if elem_counter in points_ID_elem:
run_this_face=True
# if (50 in faces_list[face_ID_1].nodes_list) and (120 in faces_list[face_ID_1].nodes_list):
# run_this_face=True
# faces_list[face_ID_1].print_face()
## print(faces_list[face_ID_1].nodes_list)
if run_this_face:
#Gets the ID of the element
this_3D_ID=points_ID_elem_all.index(elem_ID_all)
# print(this_3D_ID)
this_face_nodes=faces_list[face_ID_1].nodes_list
# faces_list[face_ID_1].print_face()
source=0
for each_integ_point in xrange(number_integ_points):
# this_Gauss_point_ID=points_IDs[this_3D_ID][each_integ_point]
# if run_biot_savart or run_permanent_magnets:
Hxy=np.zeros((3,1))
this_gauss_point_ID=points_IDs[this_3D_ID][each_integ_point]
Hxy[0,0]=fields[this_gauss_point_ID][0]
Hxy[1,0]=fields[this_gauss_point_ID][1]
Hxy[2,0]=fields[this_gauss_point_ID][2]
# Hxy=field_solution[elem_counter][each_integ_point]*k_sf
w_1_this_point=w_1[each_integ_point]
#u,v,p coordinates
u=gauss_points[each_integ_point,0]
v=gauss_points[each_integ_point,1]
p=gauss_points[each_integ_point,2]
w=w_1_this_point
# Normal vector
node1=this_face_nodes[0]
node2=this_face_nodes[1]
node3=this_face_nodes[2]
P_1=np.array([nodes_coordenates[node1][0],nodes_coordenates[node1][1],nodes_coordenates[node1][2]])
P_2=np.array([nodes_coordenates[node2][0],nodes_coordenates[node2][1],nodes_coordenates[node2][2]])
P_3=np.array([nodes_coordenates[node3][0],nodes_coordenates[node3][1],nodes_coordenates[node3][2]])
A=P_2-P_1
B=P_3-P_1
AxB=np.cross(A,B)
nor=linalg.norm(AxB)
n=AxB/nor
n=np.array([[n[0]],[n[1]],[n[2]]])
#Shape funtions
vdotn=matrix_aux.dot_product(w,n)
w_n=n*vdotn
w_t=w-w_n
w=-w_n
plot_shape_functions.append(w)
plot_test_coord.append(coordinates[this_gauss_point_ID])
#Source field
vdotn=matrix_aux.dot_product(Hxy,n)
Hxy_n=n*vdotn
plot_field.append(Hxy)
# Jacobian
jac=operations.get_jacobian(this_elem_type,this_element_nodes,nodes_coordenates,u,v,p)
det_jac=np.linalg.det(jac)
abs_det_jac=np.abs(det_jac)
#Integration
source=source+wtri*abs_det_jac*matrix_aux.dot_product(w,Hxy)
fmm_sparse[face_ID_1,0]=fmm_sparse[face_ID_1,0]+source
# Relutances integration process
for local_face_counter_2 in xrange(number_local_faces):
w_2=copy.deepcopy(w_real_all_points[local_face_counter_2])
face_ID_2=faces_ID_Elem[local_face_counter_2]
if faces_list[face_ID_2].elem_2==elem_counter:
for each in w_2:
each=matrix_aux.invert_w(each)
wtot=0.0
for each_integ_point in range(0,number_integ_points):
u=gauss_points[each_integ_point,0]
v=gauss_points[each_integ_point,1]
p=gauss_points[each_integ_point,2]
# Jacobian
jac=operations.get_jacobian(this_elem_type,this_element_nodes,nodes_coordenates,u,v,p)
det_jac=np.linalg.det(jac)
abs_det_jac=np.abs(det_jac)
# Reluctance
w_1_this_point=w_1[each_integ_point]
w_2_this_point=w_2[each_integ_point]
wtot=wtot+wtri*abs_det_jac*matrix_aux.dot_product(w_1_this_point,w_2_this_point)/mu_elem
faces_rel_spare[face_ID_1,face_ID_2]+=wtot
print_message("Integration process - Done")
#%% Connection between the physical line with the circuit node
print_message("External faces")
for counter,each_face in enumerate(faces_list):
if each_face.elem_2==str_noflux_face:
for each_face_con in elem_2D_ID:
nodes_face_shared=all_elem_nodes_3D[each_face_con]
phys_line=elem_tags[each_face_con][0]
#Coupling with external reluctances
for each_coupling in coupling:
if each_coupling.PhysLine==phys_line:
bool_connect=True
for each_node_this_face in each_face.nodes_list:
if each_node_this_face not in nodes_face_shared:
bool_connect=False
if bool_connect:
# Redefine the face
new_face=Face(each_face.nodes_list,each_face.elem_1,each_coupling.Node+number_elements)
faces_list[counter]=new_face
each_coupling.Face_ID_List.append(counter)
#%% Insert the flux sources
BC_nodes=list()
if run_surface_integral:
folder_name=os.path.join(folder_path,results_folder)
full_path=os.path.join(folder_name,"flux_surface.txt")
flux_data = np.genfromtxt(full_path,delimiter=' ',dtype='double')
flux_source =flux_data[:,1]
flux_source_elem_ID=flux_data[:,0]
num_faces_surface_integral=len(flux_source_elem_ID)
# external_node_surface_ID_counter=0
for face_counter in xrange(num_faces_surface_integral):
this_elem_face_ID=int(flux_source_elem_ID[face_counter])
this_face_nodes_elem=set(all_elem_nodes_3D[this_elem_face_ID])
for counter,each_face in enumerate(faces_list):
this_face_nodes=set(each_face.nodes_list)
if this_face_nodes_elem.issubset(this_face_nodes):
# print this_elem_face_ID
# external_node_surface_ID=len(coupling)+number_elements-1
# BC_nodes.append(external_node_surface_ID)
# external_node_surface_ID_counter+=1
new_face=Face(each_face.nodes_list,each_face.elem_1,each_face.elem_2)
faces_list[counter]=new_face
source_flux_sparse[counter]=flux_source[face_counter]
faces_rel_spare[counter,counter]=10000000000000000.0
fmm_sparse[counter,0]=0.0
# print each_face.elem_1
# break
BC_values=[0]*len(BC_nodes)
#%% Delete the faces without external connections
faces_ID_deleted_list=list()
faces_deleted_list=list()
#Delete from reluctances and fmm matrix
counter=0
for face_counter in xrange(len(faces_list)):
if faces_list[face_counter].elem_2==str_noflux_face:
faces_ID_deleted_list.append(face_counter)
faces_rel_spare=matrix_aux.delete_sparse_mask(faces_rel_spare,faces_ID_deleted_list,0)
faces_rel_spare=matrix_aux.delete_sparse_mask(faces_rel_spare,faces_ID_deleted_list,1)
fmm_sparse=matrix_aux.delete_sparse_mask(fmm_sparse,faces_ID_deleted_list,0)
source_flux_sparse=matrix_aux.delete_sparse_mask(source_flux_sparse,faces_ID_deleted_list,0)
##Delete from faces_list
counter=0
for each in faces_ID_deleted_list:
face_ID=each+counter
this_face=faces_list[face_ID]
faces_list.remove(this_face)
faces_deleted_list.append(this_face)
counter-=1
#%% Add the external circuit reluctances
number_deleted=len(faces_deleted_list)
for counter in xrange(num_non_meshed_rel):
#reluctance value
material=external_reluctances[counter].Material
mur=materials_lib[material].Permeability
LS=external_reluctances[counter].LS
mu_elem=vacuum.mu0*mur
reluctance_value=LS/mu_elem
this_position=num_meshed_rel-number_deleted+counter
faces_rel_spare[this_position,this_position]=reluctance_value
fmm_sparse[this_position]=external_reluctances[counter].fmm
source_flux_sparse[this_position]=external_reluctances[counter].flux
external_nodes_list=list()
for each in external_reluctances:
#Get the list of external nodes
if each.node_from not in external_nodes_list:
external_nodes_list.append(each.node_from)
if each.node_to not in external_nodes_list:
external_nodes_list.append(each.node_to)
#create a new face in the faces_list
new_face=Face([],each.node_from+number_elements,each.node_to+number_elements)
faces_list.append(new_face)
#Get the list of external nodes
for each in coupling:
if each.Node not in external_nodes_list:
external_nodes_list.append(each.Node )
print_message("External faces - Done")
#%% Incidence matrix
print_message("Incidence matrix")
external_nodes=0
if run_external_circuit:
external_nodes+=len(external_nodes_list)
# elif run_surface_integral:
# external_nodes+=len(BC_nodes)
else:
external_nodes+=0
number_faces_list=len(faces_list)
total_nodes=number_elements+external_nodes
rows_incidence_sparse=list()
cols_incidence_sparse=list()
data_incidence_sparse=list()
for counter in xrange(number_faces_list):
this_face=faces_list[counter]
rows_incidence_sparse.append(this_face.elem_1)
cols_incidence_sparse.append(counter)
data_incidence_sparse.append(1.0)
rows_incidence_sparse.append(this_face.elem_2)
cols_incidence_sparse.append(counter)
data_incidence_sparse.append(-1.0)
incidence_matrix_sparse=csr_matrix((data_incidence_sparse, (rows_incidence_sparse, cols_incidence_sparse)), shape=(total_nodes,number_faces_list))
print_message("Incidence matrix - Done")
#%%Plot test fields
Gmsh_file_name="test_H_field.txt"
path=os.path.join(results_path,Gmsh_file_name)
Create_Vector_field(plot_test_coord,plot_field,path,"H test")
Gmsh_file_name="test_W.txt"
path=os.path.join(results_path,Gmsh_file_name)
Create_Vector_field(plot_test_coord,plot_shape_functions,path,"Shape function")
return faces_rel_spare,incidence_matrix_sparse,fmm_sparse,source_flux_sparse,faces_ID,results_path,faces_ID_deleted_list,faces_list,faces_deleted_list,BC_nodes,BC_values
def integration_process(folder_path, preProcData):
file_names = File_names()
results_folder = file_names.get_results_folder_name()
results_path = os.path.join(folder_path, results_folder)
#%% Instances and geral definitions
aux_RNM = AuxMethodsRNM()
global_variables = GlobalVariables()
error = Errors()
operations = Operations()
materials_lib = get_materials_lib()
vacuum = Vacuum()
get_gauss_points_class = GaussPoints()
shape_functions = ShapeFuncions()
operations = Operations()
str_noflux_face = global_variables.str_noflux_face
open_circuit_reluctance = global_variables.magnetic_open_circuit_reluctance
results_folder = file_names.get_results_folder_name()
face = Face()
# ------------------------------------------------------------------------------
# Setup
regions_material = preProcData.RegionMaterial
regions_excitation = preProcData.RegionExcitation
boundary = preProcData.BC
external_reluctances = preProcData.ExternalReluctances
coupling = preProcData.CoupNet
# ------------------------------------------------------------------------------
# Mesh
mesh_data = preProcData.MeshData
all_elem_nodes_3D = mesh_data.ElemNodes
nodes_coordenates = mesh_data.NodesCoordenates
elem_tags = mesh_data.ElemTags
elem_type = mesh_data.ElemType
#%%Get source field
# Run Biot-Savart
run_biot_savart = False
# for eachregion in regions_excitation:
# if eachregion.Value != 0.0:
# field_solution=Biot_Savart.run_Biot_Savart(setup_file_name,mesh_file_name,folder_path)
# run_biot_savart=True
# break
# Run Permanent Magnets
run_permanent_magnets = False
for each_region in regions_material:
for each in materials_lib[each_region.MaterialName].Hc:
if each != 0.0:
field_solution = permanent_magnets.run_permanent_magnets(preProcData, folder_path)
run_permanent_magnets = True
break
# Read the file
if run_biot_savart or run_permanent_magnets:
(H_field, H_field_elem_nodes_3D) = get_Field_solution(
os.path.join(results_path, file_names.get_H_results_file_name())
)
run_external_circuit = False
if len(coupling) > 0:
run_external_circuit = True
#%% Get 2D and 3D elements, with their materials name
elem_2D_ID = list()
elem_type_3D = list()
elem_nodes_3D = list()
elem_tags_3D = list()
region_ID_list_3D = list()
number_elements_2D = 0
for counter, each_elem in enumerate(all_elem_nodes_3D):
this_elem_type = elem_type[counter]
if this_elem_type < 4:
elem_2D_ID.append(counter)
number_elements_2D += 1
else:
elem_nodes_3D.append(each_elem)
elem_type_3D.append(elem_type[counter])
elem_tags_3D.append(elem_tags[counter])
find = False
for each_region in regions_material:
if each_region.RegionNumber == elem_tags[counter][0]:
region_ID_list_3D.append(each_region.MaterialName)
find = True
if not find:
error.physical_surface_not_defined(str(each_region.RegionNumber), elem_tags[counter][0])
number_elements = len(elem_nodes_3D)
number_nodes = len(nodes_coordenates)
faces_ID = list()
faces_list = list()
#%%Creates the face list
print_message("Creating faces list")
for elem_counter in range(0, number_elements):
number_local_faces = shape_functions.get_number_faces(this_elem_type)
this_elem_type = elem_type_3D[elem_counter]
this_element_nodes = elem_nodes_3D[elem_counter]
faces_nodes_ID = shape_functions.get_nodes_ID_2_face(this_elem_type)
number_faces, nodes_per_face = faces_nodes_ID.shape
local_faces_ID = list()
for local_face_counter in range(0, number_faces):
nodes_list = list()
for node_counter in range(nodes_per_face):
node_ID = faces_nodes_ID[local_face_counter, node_counter]
nodes_list.append(this_element_nodes[node_ID])
local_faces_ID.append(face.add_to_list(nodes_list, elem_counter, faces_list))
faces_ID.append(local_faces_ID)
print_message("Creating faces list - Done")
#%%Integration
print_message("Integration process")
num_meshed_rel = len(faces_list)
num_non_meshed_rel = len(external_reluctances)
num_total_rel = num_meshed_rel + num_non_meshed_rel
# sparse matrix
cols_rel_sparse = list()
rows_rel_sparse = list()
# reluctance matrix
diagonal = list()
for each_element_faces in faces_ID:
numbre_faces_this_element = len(each_element_faces)
for face_counter_1 in xrange(numbre_faces_this_element):
pos_1 = each_element_faces[face_counter_1]
for face_counter_2 in xrange(numbre_faces_this_element):
pos_2 = each_element_faces[face_counter_2]
if pos_1 == pos_2:
if pos_1 not in diagonal:
rows_rel_sparse.append(pos_1)
cols_rel_sparse.append(pos_2)
diagonal.append(pos_1)
else:
rows_rel_sparse.append(pos_1)
cols_rel_sparse.append(pos_2)
data_rel_sparse = np.zeros(len(rows_rel_sparse))
faces_rel_spare = csr_matrix(
(data_rel_sparse, (rows_rel_sparse, cols_rel_sparse)), shape=(num_total_rel, num_total_rel)
)
# fmm matrix
cols_fmm_sparse = np.zeros(num_meshed_rel)
rows_fmm_sparse = xrange(0, num_meshed_rel)
data_fmm_sparse = np.zeros(num_meshed_rel)
fmm_sparse = csr_matrix((data_fmm_sparse, (rows_fmm_sparse, cols_fmm_sparse)), shape=(num_total_rel, 1))
faces_rel_matrix = np.zeros((num_meshed_rel, num_meshed_rel))
faces_fmm_matrix = np.zeros((num_meshed_rel, 1))
xy_integ_points_list = list()
W_integ_points_list = list()
this_elem_type = ""
for elem_counter in xrange(number_elements):
this_elem_type_changed = elem_type_3D[elem_counter]
if this_elem_type != this_elem_type_changed:
this_elem_type = this_elem_type_changed
gauss_points = get_gauss_points_class.get_gauss_points(this_elem_type)
number_local_faces = shape_functions.get_number_faces(this_elem_type)
number_integ_points = len(get_gauss_points_class.get_gauss_points(this_elem_type))
wtri = get_gauss_points_class.get_integration_weight(this_elem_type)
faces_ID_Elem = faces_ID[elem_counter]
this_element_nodes = elem_nodes_3D[elem_counter]
mu_elem = vacuum.mu0 * materials_lib[region_ID_list_3D[elem_counter]].Permeability
# Get W at reference element
w_local_this_element = list() # [gauss point][face]
for each_integ_point in xrange(number_integ_points):
# u,v,w coordinates
u = gauss_points[each_integ_point, 0]
v = gauss_points[each_integ_point, 1]
w = gauss_points[each_integ_point, 2]
# Shape functions @ reference element
w_local_this_point = shape_functions.get_facet_shape_function(this_elem_type, u, v, w)
w_local_this_element.append(w_local_this_point)
# Shape functions @ real element for each face
w_real_all_points = list() # w_real_lista[0] contains the shape function of all points for face 0
# Face 0...Fn
# P0 W
# Pn
for face_counter in xrange(number_local_faces):
w_real_this_point = list()
for point_counter in range(0, number_integ_points):
w_local = w_local_this_element[point_counter][face_counter]
w_real = operations.convert_local_real_Piola(
this_elem_type, w_local[0, 0], w_local[0, 1], w_local[0, 2], this_element_nodes, nodes_coordenates
)
w_real_this_point.append(w_real)
w_real_all_points.append(w_real_this_point)
# Source fields
if run_biot_savart or run_permanent_magnets:
H_points = H_field_elem_nodes_3D[elem_counter]
for local_face_counter in xrange(number_local_faces):
w_1 = copy.deepcopy(w_real_all_points[local_face_counter])
face_ID_1 = faces_ID_Elem[local_face_counter]
if faces_list[face_ID_1].elem_2 == elem_counter:
for each in w_1:
each = matrix_aux.invert_w(each)
# mmf source integration process
source = 0
for each_integ_point in xrange(number_integ_points):
w_1_this_point = w_1[each_integ_point]
u = gauss_points[each_integ_point, 0]
v = gauss_points[each_integ_point, 1]
p = gauss_points[each_integ_point, 2]
w = w_1_this_point
xy_coord = operations.convert_local_real(this_elem_type, u, v, p, this_element_nodes, nodes_coordenates)
xy_integ_points_list.append(xy_coord)
W_integ_points_list.append(w)
if run_biot_savart or run_permanent_magnets:
H_point = H_points[each_integ_point]
Hx = H_field[H_point][0]
Hy = H_field[H_point][1]
Hz = H_field[H_point][2]
if (Hx != 0) or (Hy != 0) or (Hz != 0):
Hxy = np.array([[Hx], [Hy], [Hz]])
# Jacobian
jac = operations.get_jacobian(this_elem_type, this_element_nodes, nodes_coordenates, u, v)
det_jac = np.linalg.det(jac)
abs_det_jac = np.abs(det_jac)
source = source + wtri * abs_det_jac * aux_RNM.dot_product(w, Hxy)
aux_RNM.fmm_matrix_control(face_ID_1, faces_fmm_matrix, source, False, faces_list, str_noflux_face)
fmm_sparse[face_ID_1] += source
# Relutances integration process
for local_face_counter_2 in xrange(number_local_faces):
w_2 = copy.deepcopy(w_real_all_points[local_face_counter_2])
face_ID_2 = faces_ID_Elem[local_face_counter_2]
if faces_list[face_ID_2].elem_2 == elem_counter:
for each in w_2:
each = matrix_aux.invert_w(each)
wtot = 0.0
for each_integ_point in range(0, number_integ_points):
u = gauss_points[each_integ_point, 0]
v = gauss_points[each_integ_point, 1]
p = gauss_points[each_integ_point, 2]
# Jacobian
jac = operations.get_jacobian(this_elem_type, this_element_nodes, nodes_coordenates, u, v, p)
det_jac = np.linalg.det(jac)
abs_det_jac = np.abs(det_jac)
# Reluctance
w_1_this_point = w_1[each_integ_point]
w_2_this_point = w_2[each_integ_point]
wtot = wtot + wtri * abs_det_jac * matrix_aux.dot_product(w_1_this_point, w_2_this_point) / mu_elem
aux_RNM.reluctance_matrix_control(
face_ID_1, face_ID_2, faces_rel_matrix, wtot, False, faces_list, str_noflux_face
)
faces_rel_spare[face_ID_1, face_ID_2] += wtot
print_message("Integration process - Done")
# Connection between the physical line with the circuit node
print_message("External faces")
magnetic_short_circuit_reluctance = global_variables.magnetic_short_circuit_reluctance
for counter, each_face in enumerate(faces_list):
if each_face.elem_2 == str_noflux_face:
for each_face_con in elem_2D_ID:
nodes_face_shared = all_elem_nodes_3D[each_face_con]
phys_line = elem_tags[each_face_con][0]
for each_coupling in coupling:
if each_coupling.PhysLine == phys_line:
bool_connect = True
for each_node_this_face in each_face.nodes_list:
if each_node_this_face not in nodes_face_shared:
bool_connect = False
if bool_connect:
# Redefine the face
new_face = Face(
each_face.nodes_list, each_face.elem_1, each_coupling.Node + number_elements
)
faces_list[counter] = new_face
each_coupling.Face_ID_List.append(counter)
# Set the reluctance as a magnetic short circuit
# aux_RNM.reluctance_matrix_control(counter,counter,faces_rel_spare,magnetic_short_circuit_reluctance,False)
#%% Delete the faces without external connections
faces_ID_deleted_list = list()
faces_deleted_list = list()
# Delete from reluctances and fmm matrix
counter = 0
for face_counter in xrange(len(faces_list)):
if faces_list[face_counter].elem_2 == str_noflux_face:
faces_ID_deleted_list.append(face_counter)
faces_rel_matrix = np.delete(faces_rel_matrix, faces_ID_deleted_list, axis=0)
faces_rel_matrix = np.delete(faces_rel_matrix, faces_ID_deleted_list, axis=1)
faces_fmm_matrix = np.delete(faces_fmm_matrix, faces_ID_deleted_list, axis=0)
faces_rel_spare = matrix_aux.delete_sparse_mask(faces_rel_spare, faces_ID_deleted_list, 0)
faces_rel_spare = matrix_aux.delete_sparse_mask(faces_rel_spare, faces_ID_deleted_list, 1)
fmm_sparse = matrix_aux.delete_sparse_mask(fmm_sparse, faces_ID_deleted_list, 0)
##Delete from faces_list
counter = 0
for each in faces_ID_deleted_list:
face_ID = each + counter
this_face = faces_list[face_ID]
faces_list.remove(this_face)
faces_deleted_list.append(this_face)
counter -= 1
#%% Add the external circuit reluctances
number_deleted = len(faces_deleted_list)
for counter in xrange(num_non_meshed_rel):
# reluctance value
material = external_reluctances[counter].Material
mur = materials_lib[material].Permeability
LS = external_reluctances[counter].LS
mu_elem = vacuum.mu0 * mur
reluctance_value = LS / mu_elem
this_position = num_meshed_rel - number_deleted + counter
faces_rel_spare[this_position, this_position] = reluctance_value
fmm_sparse[this_position] = external_reluctances[counter].fmm
external_nodes_list = list()
rows, cols = faces_rel_matrix.shape
for each in external_reluctances:
mu_elem = vacuum.mu0 * materials_lib[each.Material].Permeability
# Get the list of external nodes
if each.node_from not in external_nodes_list:
external_nodes_list.append(each.node_from)
if each.node_to not in external_nodes_list:
external_nodes_list.append(each.node_to)
# add the reluctance in the matrix system
row_matrix = np.zeros((1, cols))
faces_rel_matrix = np.vstack((faces_rel_matrix, row_matrix))
rows += 1
col_matrix = np.zeros((rows, 1))
faces_rel_matrix = np.hstack((faces_rel_matrix, col_matrix))
cols += 1
faces_fmm_matrix = np.vstack((faces_fmm_matrix, each.fmm))
# reluctance value
reluctance_value = each.LS / mu_elem
faces_rel_matrix[rows - 1, cols - 1] = reluctance_value
# create a new face in the faces_list
new_face = Face([], each.node_from + number_elements, each.node_to + number_elements)
faces_list.append(new_face)
# Get the list of external nodes
for each in coupling:
if each.Node not in external_nodes_list:
external_nodes_list.append(each.Node)
print_message("External faces - Done")
#%% Incidence matrix
print_message("Incidence matrix")
external_nodes = 0
if run_external_circuit:
external_nodes += len(external_nodes_list)
else:
external_nodes += 0
number_faces_list = len(faces_list)
total_nodes = number_elements + external_nodes
incidence_matrix = np.zeros((total_nodes, number_faces_list))
rows_incidence_sparse = list()
cols_incidence_sparse = list()
data_incidence_sparse = list()
for counter in xrange(number_faces_list):
this_face = faces_list[counter]
rows_incidence_sparse.append(this_face.elem_1)
cols_incidence_sparse.append(counter)
data_incidence_sparse.append(1.0)
rows_incidence_sparse.append(this_face.elem_2)
cols_incidence_sparse.append(counter)
data_incidence_sparse.append(-1.0)
incidence_matrix_sparse = csr_matrix(
(data_incidence_sparse, (rows_incidence_sparse, cols_incidence_sparse)), shape=(total_nodes, number_faces_list)
)
for counter, each_face in enumerate(faces_list):
if each_face.elem_2 != str_noflux_face:
incidence_matrix[each_face.elem_1, counter] = 1
incidence_matrix[each_face.elem_2, counter] = -1
else:
incidence_matrix[each_face.elem_1, counter] = 1
incidence_matrix[total_nodes - 1, counter] = -1
print_message("Incidence matrix - Done")
return (
faces_rel_spare,
incidence_matrix_sparse,
fmm_sparse,
faces_ID,
results_path,
faces_rel_matrix,
incidence_matrix,
faces_fmm_matrix,
faces_ID_deleted_list,
faces_list,
faces_deleted_list,
)